{"id":"W2911681279","doi":"10.1049/iet-cta.2018.5709","title":"Distributed multiple step ahead prediction considering communication delays","year":2019,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Controller (irrigation); Variance (accounting); Limit (mathematics); Control (management); Control theory (sociology); Model predictive control; SIGNAL (programming language); Control engineering; Engineering; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005554773,0.0007150747,0.00096986,0.0002135275,0.0004233325,0.0007204054,0.0006754526,0.0006725742,0.0008376086],"category_scores_gemma":[0.001773665,0.0002679328,0.0003014464,0.0003877202,0.0006109093,0.0007809135,0.0007608025,0.001102276,0.0001161544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005548008,"about_ca_system_score_gemma":0.001189971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004971389,"about_ca_topic_score_gemma":0.003730138,"domain_scores_codex":[0.9995821,0.00007721784,0.0000127865,0.0001205734,0.000148105,0.00005919464],"domain_scores_gemma":[0.9991201,0.0005000382,0.0001239986,0.0000606109,0.0001595706,0.00003565517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007100954,0.00001539051,0.0002342197,0.00003805811,0.00001144404,0.00006249548,0.00002266355,0.9788204,0.002263999,0.003826136,0.0002538443,0.01438044],"study_design_scores_gemma":[0.000003592363,0.000019834,0.00005987466,0.000001940602,0.000002744742,0.000008019779,0.000003042769,0.9980384,0.0005203902,0.001232118,0.0001074087,0.000002712041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02990212,0.0003778047,0.9680387,0.0001360866,0.00005675596,0.00001886075,0.00002305722,0.0001427657,0.001303831],"genre_scores_gemma":[0.9664587,0.0002821416,0.03102352,0.00003628269,0.00004823804,0.00003470475,0.00004077167,0.00002182804,0.002053739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004971389,"threshold_uncertainty_score":0.009884894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003785149364551513,"score_gpt":0.1922637891945789,"score_spread":0.1884786398300274,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}